In many of the showcase demos that Enterprise DNA releases across webinars, summits, and to Enterprise DNA members you will see that the use of measure groups is extensive.

There is a very good reason why measure groups have been implemented in all of the models that Enterprise DNA creates. When you develop advanced analytical models and reports inside of Power BI, making sure that you’re organizing all of the DAX measures you are creating is of extreme importance.

If you do not do this, your model will be very difficult to maintain and audit in the future because measures will be hard to find.

This tutorial is a deep dive into why measure groups are so important and how you can actually create them inside of Power BI. This is certainly relevant and valuable best practise if you’re just starting out and getting an introduction into measures.

The other important development technique that builds upon measure groups is called measure branching.

Measure branching is an incredibly vital development concept to start implementing in your models as soon as you can. By utilizing this development technique in combination with measure groups you can absolutely bring great scale and efficiency to the development work you are implementing inside of Power BI.

Enjoy reviewing this particular content. I feel that you will immeasurably improve your modeling and reporting skills inside of Power BI by implementing these ideas and techniques into your own reports and models.